{"id":"W3126731221","doi":"","title":"Fire Science Myths: Examining Arson and Wrongful Convictions","year":2020,"lang":"en","type":"article","venue":"SFU Undergraduate Research Symposium Journal","topic":"Forensic Fingerprint Detection Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arson; Mythology; Fire investigation; Speculation; Criminology; Forensic engineering; Law; Poison control; Sample (material); Crime scene; History; Engineering; Political science; Sociology; Business; Medical emergency; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03136491,0.0003519791,0.0004761771,0.007680925,0.0115049,0.006895056,0.002206539,0.001630265,0.002149753],"category_scores_gemma":[0.1207475,0.0005122213,0.0003369979,0.003859154,0.02396126,0.005292322,0.006070676,0.004489446,0.0001221094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02749831,"about_ca_system_score_gemma":0.024502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3477031,"about_ca_topic_score_gemma":0.4351529,"domain_scores_codex":[0.9797409,0.007208289,0.001105786,0.001008047,0.008616137,0.002320856],"domain_scores_gemma":[0.9249207,0.04286074,0.01744447,0.003161898,0.009214824,0.00239742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000921471,0.00009476891,0.1594553,0.0001538853,0.00005272079,0.0004915028,0.7707422,0.0001212094,0.0002670314,0.03110674,0.001696886,0.03572561],"study_design_scores_gemma":[0.000005266989,0.00004361104,0.1269343,0.0004851606,0.00003296514,0.0002638886,0.8567603,0.0003525847,0.0003342321,0.006800733,0.007950149,0.00003683368],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749056,0.001006479,0.0007223147,0.007565614,0.00004667602,0.00007763022,0.00007717485,0.000004372561,0.0155942],"genre_scores_gemma":[0.9983777,0.000443842,0.0002211955,0.0003346917,0.000012315,0.00002266356,0.00002459454,0.000002241447,0.0005607945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3477031,"threshold_uncertainty_score":0.6913586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1649801466875959,"score_gpt":0.4393443260269644,"score_spread":0.2743641793393685,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}